We describe a new generative algorithm called trajectory generative mechanism (TGM) for
publishing trajectory datasets with ε-differential privacy guarantee, which achieves …

The existing location-based services have collected a large amount of user trajectory data,
and if these data are directly released without any processing, the user's personal privacy …

The results of road congestion detection can be used for the rational planning of travel
routes and as guidance for traffic management. The trajectory data of moving objects can …

The boom of mobile devices and location-based services (LBSs) greatly enriches the mobile
social network (MSN) applications, which bring convenience to our daily life and …

With the development of positioning technology and location-aware devices, moving objects'
location and trajectory information have been collected and published, resulting in serious …

With the enhancement of the positioning function of mobile devices and the upgrade of
communication networks, location-based service (LBS) has become an important …

In recent years, it has become easy to obtain location information quite precisely. However,
the acquisition of such information has risks such as individual identification and leakage of …

Trajectory k-anonymity is a prevalent technique for protecting trajectory privacy. However,
the existing techniques for generating fake trajectories can be easily broken by an adversary …

With the popularity of location-based services in the field of mobile network applications,
users enjoy the convenience on one side, they may face the risk of privacy disclosure on the …

Information extracted from trajectory data is very useful in many practical application
scenarios. Before trajectories for data mining are published, they need to be processed to …